Companies running a self-serve motion alongside a sales team generally fall into one of two failure modes. Either sales chases every signup, burning hours on people who were never going to buy, or sales ignores self-serve entirely and misses accounts that were ready. The value sits in a narrow band between the two, and identifying it is a marketing problem before it's a sales one.
Signup is not a signal
A signup tells you someone was curious for ninety seconds. Treating it as intent is why product-led sales gets a reputation for producing bad meetings. The signals that actually predict a commercial conversation involve effort and other people: someone connected a real data source, invited colleagues, hit a usage limit, or returned on multiple days. Each of those represents a decision that cost something.
The signals worth acting on
Across the accounts I've worked on, the highest-value signals share a shape — they indicate the product has been integrated into someone's actual work rather than merely explored. A second user from the same email domain is a strong one, because it means someone recommended you internally. Repeated use of the feature that maps to your core value beats total logins. Hitting a plan limit is the clearest of all: they've demonstrated need and encountered a wall simultaneously.
- Second and third user from the same domain — internal advocacy is happening
- Real data connected, not sample data explored
- Return usage across multiple separate days, not one long session
- Plan limits reached, or the pricing page visited from inside the product
Get the timing and the opener right
The signal defines the moment; the message has to reflect that you know what happened. 'I noticed you connected your CRM and hit the record limit — happy to sort that out' is a completely different conversation from 'I saw you signed up, do you have fifteen minutes?'. The first is helpful and specific. The second is the same cold outreach everyone else sends, with a slightly better excuse for sending it.
Why this is marketing's job to define
Sales cannot build this list — it requires product analytics, cohort analysis, and a view of which behaviours correlate with closed-won across the whole base. That's marketing and data work. What sales owns is what happens after the signal fires. When those responsibilities blur, you get either a scoring model nobody trusts or a sales team inventing their own criteria from anecdote. Define it jointly, review it quarterly against actual outcomes, and be willing to delete signals that turn out not to predict anything.
The product tells you who's ready. Your only job is to be disciplined enough to wait for it to say so.
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